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The evolutionary transitions of mating systems between outcrossing and self-fertilization are often suggested to associate with the cytological and genomic changes, but the empirical reports are limited in multicellular organisms. Here we used the unicellular zygnematophycean algae, the Closterium peracerosum-strigosum-littorale (C. psl.) complex, to address whether genomic properties such as genome sizes and chromosome numbers are associated with mating system transitions between homothallism (self-fertility) and heterothallism (self-sterility). Phylogenetic analysis revealed the polyphyly of homothallic strains, suggesting multiple transitions between homothallism and heterothallism in the C. psl. complex. Flow cytometry analysis identified a more than 2-fold genome size variation, ranging from 0.53 to 1.42 Gbp, which was positively correlated with chromosome number variation between strains. Although we did not find consistent trends in genome size change and mating system transitions, the mean chromosome sizes tend to be smaller in homothallic strains than in their relative heterothallic strains. This result suggests that homothallic strains possibly have more fragmented chromosomes, which is consistent with the argument that self-fertilizing populations may tolerate more chromosomal rearrangements., (© 2024 Phycological Society of America.)

Genome sizes are known to vary within and among closely related species, but the knowledge about genomic factors contributing to the variation and their impacts on gene functions is limited to only a small number of species. This study identified a more than 2-fold heritable genome size variation among the unicellular Zygnematophycean alga, Closterium peracerosum-strigosum-littorale (C. psl.) complex, based on short-read sequencing analysis of 22 natural strains and F1 segregation analysis. Six de novo assembled genomes revealed that genome size variation is largely attributable to genome-wide copy number variation (CNV) among strains rather than mating type-linked genomic regions or specific repeat sequences such as rDNA. Notably, about 30% of genes showed CNV even between strains that can mate with each other. Transcriptome and gene ontology analysis demonstrated that CNV is distributed nonrandomly in terms of gene functions, such that CNV was more often observed in the gene set with stage-specific expression. Furthermore, in about 30% of these genes with CNV, the expression level does not increase proportionally with the gene copy number, suggesting presence of dosage compensation, which was overrepresented in genes involved in basic biological functions, such as translation. Nonrandom patterns in gene duplications and corresponding expression changes in terms of gene functions may contribute to maintaining the high level of CNV associated with extensive genome size variation in the C. psl. complex, despite its possible detrimental effects., (© The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution.)

Ever since Darwin, one of the major challenges in evolutionary biology is to unravel the process and mechanisms of adaptation and speciation. Population genomics-the analysis of whole-genome polymorphism data from large population samples-is a critical approach to study adaptation and speciation, as population genomics datasets enable us to: (1) perform genome-wide association studies (GWAS) to find genes underlying adaptive phenotypic variations; (2) scan the footprints of selection across the genome to pinpoint loci under selection; and (3) infer the structure and demographic history of populations. Here, we review recent studies of plants using population genomics, covering those focusing on interactions with other organisms, adaptations to local climatic conditions, and the genomic causes and consequences of reproductive isolation. Integrative studies involving GWAS, selection scans, functional studies, and fitness measurements in the field have successfully identified loci for adaptation, revealed the molecular basis of genetic trade-offs, and shown that fitness can be predicted by polygenic effects of a number of loci associated with local climate. We highlight the importance of the measurement of fitness and phenotypes in the field, which can be powerful tools when combined with population genomic analyses., (© 2018 Japanese Society of Developmental Biologists.)